Top 6 C++ Panda Projects
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The interesting thing about Polars is that it does not try to be a drop-in replacement to pandas, like Dask, cuDF, or Modin, and instead has its own expressive API. Despite being a young project, it quickly got popular thanks to its easy installation process and its “lightning fast” performance.
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Project mention: Grafana Beyla: OSS eBPF auto-instrumentation for application observability | news.ycombinator.com | 2023-09-13
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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DataFrame
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Project mention: New multithreaded version of C++ DataFrame was released | news.ycombinator.com | 2024-02-13 -
ArcticDB
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
ArcticDB is a new data store for pandas DataFrames (https://arcticdb.io/). I have no affiliation with the project but wanted to see how it would compare on speed versus the other file format storage options available in Pandas: HDF, Feather, and Parquet. I could not find much on-line about how Arctic compares to the other options in terms of speed, so I ran some tests myself.
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ustore
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
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C++ Pandas related posts
Index
What are some of the best open-source Panda projects in C++? This list will help you:
Project | Stars | |
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1 | cudf | 7,163 |
2 | pixie | 5,231 |
3 | DataFrame | 2,219 |
4 | ArcticDB | 1,021 |
5 | ustore | 476 |
6 | pymport | 64 |